• DocumentCode
    3673797
  • Title

    A comparison between Extreme Learning Machine and Fast Support Vector Classifier

  • Author

    Mihai Bucurica;Radu Dogaru

  • Author_Institution
    Doctoral School in Electronics, Telecommunications and Information Technology, University “
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Abstract
    Herein we consider the comparison of two neural networks: the Extreme Learning Machine (ELM) and the Fast Support Vector Classifier (FSVC, also known as RBF-M). Classification tasks are considered showing that FSVC has similar performance to ELM while having the advantage of a unique radius and of a precise result (no randomness is here involved).
  • Keywords
    "Training","Neurons","Support vector machines","Biological neural networks","Testing","Accuracy"
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computers and Artificial Intelligence (ECAI), 2015 7th International Conference on
  • Print_ISBN
    978-1-4673-6646-5
  • Type

    conf

  • DOI
    10.1109/ECAI.2015.7301169
  • Filename
    7301169
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3673797